Evidence map›Paper›PMID 42769884›Full record

ArticleNeurosurgery practice2026

Measuring Long-Term Outcomes After Degenerative Spine Surgery: Is It Time for Something New? A Smartphone-Based Analysis of 60 753 Days of Objective Mobility Data.

Advith Sarikonda, Harsh Jain, Logan D Pasquariello, Clayton R Baker, James F Bathon, Nick De Oliveira, Raymond J Gardocki, Bayard R Wilson, Amir M Abtahi, Byron F Stephens and 1 more

Abstract read
In one paragraph

Article in Neurosurgery practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Advith SarikondaDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Harsh JainDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Logan D PasquarielloVanderbilt University, Nashville, Tennessee, USA.
Clayton R BakerVanderbilt University School of Medicine, Nashville, Tennessee, USA.
James F BathonVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Nick De OliveiraVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Raymond J GardockiDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Bayard R WilsonDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Amir M AbtahiDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Byron F StephensDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Scott L ZuckermanDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0003-2951-2942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesAlthough the goal of spine surgery is to improve functionality, conventional patient-reported outcome measures (PROMs) cannot capture nuances of longitudinal ambulation. Therefore, using patient smartphones, we (1) assessed long-term

methodsPatients undergoing degenerative lumbar spine surgery or surgery for cervical myelopathy were enrolled to share iPhone (Apple Inc.) health data. Smartphone metrics included daily

resultsFifty-one patients (38 lumbar, 13 cervical) shared 60 753 patient-days of mobility data. The mean age was 53.2 ± 14.8 years; 51.0% were female.

conclusionIn this pilot study using smartphone motion sensors, spine surgery was associated with an early postoperative decline in mobility, followed by recovery at approximately 2 to 3 months postoperatively and sustained long-term improvement.

Indexed as

Apple HealthApple WatchiPhoneMobilityPROMsSmartphone

Identifiers

PMID42769884
PMCPMC13592996

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.